GitHub / sayande01 / Ensemble_Learning_ML
This project investigates ensemble learning techniques, combining multiple models to enhance accuracy and robustness. It covers both basic methods (Max Voting, Averaging, Weighted Averaging) and advanced techniques (Stacking, Blending, Bagging, Boosting), aiming to improve predictive performance by addressing model weaknesses.
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PURL: pkg:github/sayande01/Ensemble_Learning_ML
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.02 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 4 months ago
Topics: ensemble-learning, voting-classifier, voting-regressor